•   Data analysis and visualisation TK00BK57-3003 13.01.2020-30.04.2020  5 credits  (TKMI18SP) +-
    Learning outcomes of the course
    You are able to analyse and visualise the properties of objects in big data.
    You are able to analyse and visualise relationships between objects in big data in different ways.
    You can report your thesis and other studies or research in writing.
    Prerequisites and co-requisites
    Discrete mathematics 2 or equivalent knowledge
    Course contents
    What is meant by big data?
    How can the properties of objects be analysed and visualised?
    How can the relationships between objects be analysed and visualised?
    How do you report your study or research process and the results?
    Name of lecturer(s)

    Jari Kortelainen

    Mode of delivery

    Face-to-face

    Assessment methods and criteria

    To be settled at the course kick off.

    Language of instruction

    Tuition in Finnish

    Timing

    13.01.2020 - 30.04.2020

    Enrollment date

    01.10.2019 - 15.10.2019

    5 credits

    Group(s)
    • TKMI18SP
    Unit, in charge

    Informaatioteknologian koulutusyksikkö (not translated)

    Teacher(s)

    Ulla Korvenpää, Jari Kortelainen

    Programme(s)

    Degree Programme in Business Information Technology

    Unit location

    Mikkeli Campus

    Evaluation scale

    1-5

    Completion alternatives

    You can show your competence e.g. by a certificate. To be settled at the course kick off.

    Planned learning activities and teaching methods

    Scheduled track: You participate in lectures and exrecises according to the weekly schedule. Independent track: You can show your competence e.g. by a certificate. To be settled at the course kick off.

    Students use of time and load

    135 h

    Exam schedule

    To be settled later on.